In the age of AI-generated content and widespread data sharing, organizations struggle to maintain transparency and trust in their digital assets. Verifying the authenticity and tracking the lineage of data across multiple parties is challenging, leading to concerns about compliance, fraud, and misattribution.

DataTrails provides a Provenance API that generates immutable audit trails for digital content, ensuring verifiable authenticity and data lineage. The API associates the identity of operations with the actions and events of a workflow, creating a tamper-proof record of who did what and when. By linking content with immutable metadata and cryptographic hashes, DataTrails enables users to instantly verify content and determine if assets are trusted. The platform supports IETF SCITT standards, facilitating integration with applications that require safe, secure, and trustworthy data.

Provenance API for generating immutable audit trails

Cryptographic hashing and metadata linking for content verification

Support for IETF SCITT standards for interoperability

Tamper-proof ledger for recording chronological sequences of activities

Tools for identifying training datasets used in AI models

Features for tracking outputs with verifiability and transparency

Integration capabilities for chain of custody solutions

Proof Portal for durable media protection to verify content authenticity and debunk deepfakes

DataTrails targets tech teams building responsible AI, media teams focused on content authenticity, and supply chain teams seeking enhanced oversight.